LearningModel.LoadFromFilePath Method     
Definition
Important
Some information relates to prerelease product that may be substantially modified before it’s released. Microsoft makes no warranties, express or implied, with respect to the information provided here.
Overloads
| LoadFromFilePath(String) | Important For the latest documentation about Windows Machine Learning, see What is Windows ML. That documentation describes APIs that are in the Microsoft.Windows.AI.MachineLearning namespace, which ships in the Windows App SDK. Those APIs supersede the ones documented here, which are in the Windows.AI.MachineLearning namespace, and were shipped in 2018. Loads an ONNX model from a file on disk. | 
| LoadFromFilePath(String, ILearningModelOperatorProvider) | Important For the latest documentation about Windows Machine Learning, see What is Windows ML. That documentation describes APIs that are in the Microsoft.Windows.AI.MachineLearning namespace, which ships in the Windows App SDK. Those APIs supersede the ones documented here, which are in the Windows.AI.MachineLearning namespace, and were shipped in 2018. Loads an ONNX model from a file on disk. | 
LoadFromFilePath(String)
Important
For the latest documentation about Windows Machine Learning, see What is Windows ML. That documentation describes APIs that are in the Microsoft.Windows.AI.MachineLearning namespace, which ships in the Windows App SDK. Those APIs supersede the ones documented here, which are in the Windows.AI.MachineLearning namespace, and were shipped in 2018.
Loads an ONNX model from a file on disk.
public:
 static LearningModel ^ LoadFromFilePath(Platform::String ^ filePath);/// [Windows.Foundation.Metadata.Overload("LoadFromFilePath")]
 static LearningModel LoadFromFilePath(winrt::hstring const& filePath);[Windows.Foundation.Metadata.Overload("LoadFromFilePath")]
public static LearningModel LoadFromFilePath(string filePath);function loadFromFilePath(filePath)Public Shared Function LoadFromFilePath (filePath As String) As LearningModelParameters
- filePath
- 
				
				String
Platform::String winrt::hstring 
The path to the ONNX model file on disk.
Returns
An object representing the model.
- Attributes
Remarks
This method is meant for desktop (non-UWP) applications. For UWP, see LoadFromStorageFileAsync.
Windows Server
To use this API on Windows Server, you must use Windows Server 2019 with Desktop Experience.
Thread safety
This API is thread-safe.
Applies to
LoadFromFilePath(String, ILearningModelOperatorProvider)
Important
For the latest documentation about Windows Machine Learning, see What is Windows ML. That documentation describes APIs that are in the Microsoft.Windows.AI.MachineLearning namespace, which ships in the Windows App SDK. Those APIs supersede the ones documented here, which are in the Windows.AI.MachineLearning namespace, and were shipped in 2018.
Loads an ONNX model from a file on disk.
public:
 static LearningModel ^ LoadFromFilePath(Platform::String ^ filePath, ILearningModelOperatorProvider ^ operatorProvider);/// [Windows.Foundation.Metadata.Overload("LoadFromFilePathWithOperatorProvider")]
 static LearningModel LoadFromFilePath(winrt::hstring const& filePath, ILearningModelOperatorProvider const& operatorProvider);[Windows.Foundation.Metadata.Overload("LoadFromFilePathWithOperatorProvider")]
public static LearningModel LoadFromFilePath(string filePath, ILearningModelOperatorProvider operatorProvider);function loadFromFilePath(filePath, operatorProvider)Public Shared Function LoadFromFilePath (filePath As String, operatorProvider As ILearningModelOperatorProvider) As LearningModelParameters
- filePath
- 
				
				String
Platform::String winrt::hstring 
The path to the ONNX model file on disk.
- operatorProvider
- ILearningModelOperatorProvider
Returns
An object representing the model.
- Attributes
Remarks
This method is meant for desktop (non-UWP) applications. For UWP, see LoadFromStorageFileAsync.
Windows Server
To use this API on Windows Server, you must use Windows Server 2019 with Desktop Experience.
Thread safety
This API is thread-safe.